This course is part of the Introduction to Scripting in Python Specialization

4.7
stars
856 ratings

Scott Rixner +1 more instructor

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Introduction to Scripting in Python SpecializationRice University

About this Course

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This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations.  We'll learn about reading, storing, and processing tabular data, which are common tasks.  We will also teach you about CSV files and Python's support for reading and writing them.  CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python.

This course uses Python 3.  While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Course 3 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.83/5 (117 Ratings)

Scott Rixner

Joe Warren

Offered by

Rice University

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Syllabus - What you will learn from this course

Content Rating95%(2,070 ratings)

Week

Week 1

2 hours to complete

Dictionaries

2 hours to complete

7 videos (Total 45 min), 2 readings, 1 quiz

Week

Week 2

1 hour to complete

Tabular Data and Nested Data Structures

1 hour to complete

4 videos (Total 32 min), 2 readings, 1 quiz

Week

Week 3

4 hours to complete

Tabular Data and CSV Files

4 hours to complete

8 videos (Total 66 min), 4 readings, 2 quizzes

Week

Week 4

2 hours to complete

Organizing Data

2 hours to complete

6 videos (Total 53 min), 3 readings, 1 quiz

Reviews

4.7

147 reviews

5 stars
76.63%
4 stars
16.23%
3 stars
5.14%
2 stars
1.16%
1 star
0.81%

TOP REVIEWS FROM PYTHON DATA ANALYSIS

by PDDec 26, 2017

Excellent course that covers a good balance of Python fundamentals and problem solving skills.

Highly recommended.

by ADApr 25, 2021

Good course to learn and enhance our skills. I faced issue in quiz as i was not able to edit to add code in quiz. Please resolve it.

by PKOct 20, 2021

The final project was demanding not due to programming, but due to the idea of "code refactoring" and unclear dependencies on csv files.

by ASMay 15, 2020

One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.

View all reviews

About the Introduction to Scripting in Python Specialization

Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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